The prevalence of fear of movement in persistent pain ranges from 50 to 70%, and it may hinder the subsequent rehabilitation interventions. Therefore, the evaluation of fear of movement/injury plays a crucial role in making clinical treatment decisions conducive to the promotion of rehabilitation and prognosis. In the decision-making process of pain treatment, the assessment of fear of movement/injury is mainly completed by scale/questionnaire. Scale/questionnaire is the most widely used instrument for measuring fear of movement/injury in the decision-making process of (...) pain treatment. At present, the most commonly used scale/questionnaire are the Tampa Scale for Kinesiophobia, the Fear-Avoidance Beliefs Questionnaire, the Kinesiophobia Causes Scale, the Athlete Fear-Avoidance Questionnaire, and the Fear-Avoidance Components Scale. In order to provide necessary tools and references for related research and rehabilitation treatment, this descriptive review is designed as an introduction to the background and content, score system, available language versions, variants of the original questionnaire, and psychometric properties of these scales/questionnaries. (shrink)

Ethical voice involves individuals’ perceptions of what is right and what is wrong. Although prior research has investigated the impacts of individual-level prohibitive ethical expression on personal outcomes, there has been limited examination of ethical voice at the group level. Our study examines how and when different types of ethical voice influence group outcomes. Using data gathered from 363 participants from 61 groups in two Chinese companies, the results reveal that promotive and prohibitive ethical voices at the group level exert (...) opposing influences on group moral transitive motivation. Group moral transitive motivation serves as a mediating factor in the association between the two types of ethical voice and group ethical behaviors (GEB). In addition, group faultlines moderate the impact of promotive ethical voice and prohibitive ethical voice on group moral transitive motivation and on GEB (via group moral transitive motivation). Our study extends the focus of research from a single type of ethical voice at the individual level to multiple types at the group level. The findings contribute to the body of knowledge regarding group ethical voice (GEV) by articulating its mediating mechanism as well as its boundary condition. This research provides valuable insights for researchers and managers by offering a comprehensive understanding about the role of different types of GEV and how to reform GEV. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

The recognition memory for inverted faces is especially difficult when compared with that for non-face stimuli. This face inversion effect has often been used as a marker of face-specific holistic processing. However, whether face processing without awareness is still specific remains unknown. The present study addressed this issue by examining the face inversion effect with the technique of binocular rivalry. Results showed that invisible upright faces could break suppression faster than invisible inverted faces. Nevertheless, no difference was found for invisible (...) upright houses and invisible inverted houses. This suggested that face processing without awareness is still specific. Some face-specific information can be processed by high-level brain areas even when that information is invisible. (shrink)

In the last 20 years, much attention has been paid to learners’ demotivation. Researchers have conducted many studies on second/foreign language learning demotivation from the perspectives of social culture, social psychology, and so forth. In China, related studies have mainly focused on college students’ demotivation; scant attention has been paid to senior high school students. Regarding scale development, although much progress has been made, there remains a need for a scale with high reliability and validity that is suitable for students (...) in the basic education stage. Therefore, based on previous studies and choosing Chinese senior high school students as participants, this research study developed a scale with 55 items, and exploratory factor analysis was used to develop a 28-item scale with six dimensions. The six-dimensional construct encompasses teacher knowledge, important others, teacher responsibility, learner-related factors, learning contents, and critical incidents, which are the key factors leading to English learners’ demotivation. Among them, the factor of critical incidents is new and has been overlooked by other researchers. Moreover, the descriptive analysis demonstrated the degree to which the demotivators influence learners, and the independent samples t-test found a significant difference in the impact of critical incidents in terms of the students’ language proficiency. Ultimately, four suggestions are put forward to remotivate and sustain learners’ motivation. (shrink)

The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented (...) to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method. (shrink)

The research expects to explore the psychological mobilization of innovative teaching methods of Music Majors under the new curriculum reform. The relevant theories of college students’ innovative teaching methods are analyzed under deep learning together with the innovation and construction of music courses. Thereupon, college students’ psychological mobilization is studied. Firstly, the relationship between innovation and entrepreneurship teaching and deep learning is obtained through a literature review. Secondly, the music classroom model is designed based on the deep learning theory, and (...) the four dimensions of the music curriculum are defined to innovate and optimize the music teaching model. Finally, the Questionnaire Survey is used to analyze the design classroom model. Only 15% of the 180 respondents understand the concept of deep learning, 32% like interactive music learning, and 36% like competitive comparative music classroom learning. And the students who study instrumental music have higher significant differences in learning motivation than those who study vocal music. In addition to classroom learning, 16% of people improve their music skills through music equipment. College students like interactive music classes and competitive comparison classes that can give more play to their subjective initiative. After the new curriculum reform, the music curriculum based on deep learning can stimulate students’ interest in learning and participate in the mobilization of students’ learning psychology. Therefore, in the future of music education and teaching, there is a need to pay more attention to students’ psychological status. The research results can provide references and practical significance for the innovative teaching activities of music classrooms after the new curriculum reform. (shrink)

According to the conflict monitoring hypothesis, conflict monitoring and inhibitory control in cognitive control mainly cause activity in the anterior cingulate cortex and control-related prefrontal cortex in many cognitive tasks. However, the role of brain regions in the default mode network in cognitive control during category induction tasks is unclear. To test the role of the ACC, PFC, and subregions of the DMN elicited by cognitive control during category induction, a modified category induction task was performed using simultaneous fMRI scanning. (...) The results showed that the left middle frontal gyrus and bilateral dorsal ACC/medial frontal gyrus were sensitive to whether conflict information appears, but not to the level of conflict. In addition, the bilateral ventral ACC, especially the right vACC, a part of the DMN, showed significant deactivation with an increase in cognitive effort depending on working memory. These findings not only offer further evidence for the important role of the dorsolateral PFC and dorsal ACC in cognitive control during categorization but also support the functional distinction of the dorsal/ventral ACC in the category induction task. (shrink)

This paper mainly introduces the application of immersive media in Chinese public cultural participation from the perspective of cultural education, as well as the important value of the application of immersive media in expanding the breadth, accuracy, and depth of education and thereby improving the quality of education. On this basis, the realistic path of the role of immersive media technology in further realizing public cultural participation is discussed. First of all, through a questionnaire survey, it analyzes the problems existing (...) in Chinese public cultural participation from the perspective of cultural education and the application of immersive media in Chinese public cultural participation. Secondly, from the aspects that the application of immersive media can extend the space of cultural participation, enrich the content of cultural participation and strengthen the value recognition of cultural participation, it demonstrates that immersive media helps to solve the dilemma of Chinese public cultural participation as a whole and thus improve the quality of education. This will bring new possibilities for expanding Chinese public cultural participation and promoting public social education and cultural quality education. Finally, it discusses the further development of immersive media technology in the field of cultural education from the aspects of optimizing the ecology of immersive media development, promoting the R&D and application of immersive media technology, and promoting the integration of immersive media with cultural participation space and cultural education content. (shrink)

In studies investigating the property value enhancements along metro lines, study ranges in most cases are measured in Euclidean distance. However, city roads are not always straight, and Euclidean distance sometimes does not equal to actual distance the passenger travels from the public transport station to their home or a commercial spot. To solve this problem, this study analyzed the indicators affecting commercial property value in metro station accessible area in Xi’an, using walking time consumption in measuring the study range. (...) Following a conceptual framework, considering empirical evidences in related studies, information in city structure, and metro distribution, the initial indicator set is built. Using hedonic price model, spatial autoregressive model, and error term, significant indicators affecting commercial property value are investigated. In this study, 14 significant indicators are determined and quantified. Threshold distance equals to 900 m is found to be appropriate in addressing the autocorrelation problem with the weighted decision matrix tool. Compared to HPM and SEM, SAR is found to perform the best in evaluating the significant indicators with the largest R2 and the lowest Akaike Info Criterion. Besides, it is discovered that the value of the commercial property lies in the study range of 20 min walking time and is obviously influenced by the metro station. The results discovered in this study could provide some empirical evidences to commercial property planning in Xi’an. (shrink)

It has been a growing trend in Chinese universities to shift from English for general purposes to English for specific purposes teaching. Against this background, large groups of teachers previously engaged in teaching EGP have become or are becoming ESP teachers, which means a complex process of learning for subject-specific information, transforming teaching practices and constructing new identities. Despite this, very little has been written about the ESP teacher cognition of language teaching or the factors influencing this shift in teaching. (...) This study involved English for Medical Purposes teachers in Chinese universities as participants, and a scale of EMP TC with 31 items was developed on the basis of questionnaire results. Data from exploratory factor analysis revealed six dimensions of the scale, namely, teacher attitude, teacher belief, teacher learning, teacher support, role identification, and teacher practice—that combine to constitute and influence EMP TC. While the identity factor has attracted wide attention in ESP teacher research, other factors have largely been neglected. Thus, this research highlights the importance of more factors in shaping and changing the language teaching cognition of EMP or ESP teachers in large, especially the teacher belief factor. In addition, results of independent samples t-tests indicated significant difference in EMP teacher learning in terms of gender, differences in EMP teacher attitude and teacher support in terms of EMP teaching experience. Suggestions for enhancing EMP TC are offered on the basis of the conclusions of this research. (shrink)

We examine the implications of social trust for auditor reporting conservatism. Using a sample of listed companies in China, we find that clients located in high-trust regions are less likely to receive a non-clean audit opinion. This negative impact of social trust on auditor reporting conservatism increases when the client’s parent firm operates in a region of higher social trust, suggesting that social trust is contagious from a parent firm to its subsidiaries in a consolidated entity. We provide evidence that (...) the trust contagion is more pronounced for clients with a higher percentage of parent-appointed directors on their boards and clients whose parent firm has fewer subsidiaries. These findings indicate that monitoring and, to a lesser extent, personnel rotation may serve as potential channels of trust contagion. We also find that the impact of trust is more pronounced when the client is located closer to its audit firm, when the client’s parent firm is a state-owned enterprise or holds a higher percentage of the client’s shares, and when the client is associated with greater discretionary accruals. We provide further evidence that it is client rather than auditor trustworthiness that influences auditor reporting conservatism, auditors charge trustworthy clients lower fees, and clients from high-trust regions are less likely to manipulate earnings. Overall, our evidence suggests that social trust alleviates auditor concern about client moral hazard. (shrink)

The present study aimed to delineate the characteristics of empathy and mental health in preschool teachers and examine the role of empathy in preschool teachers’ mental health. The sample in this study consisted of 4348 preschool teachers, who were divided into 4 groups according to their years of teaching experience (less than 2 years, 2 to 5 years, 5 to 10 years, and more than 10 years). The Chinese version of the Symptom Checklist 90 was used to measure the mental (...) health symptoms of the participants, and the Chinese version of the Interpersonal Reactivity Index was employed to assess various aspects of the participants’ empathy. The results indicated that preschool teachers scored higher than the controls for most mental symptoms, and most symptoms increased as teaching experience increased, independent of the effect of age. The study also found that the four dimensions of empathy showed different trends across the four teaching experience groups: fantasy remained stable, empathic concerns and perspective taking showed decreasing trends, and personal distress showed an increasing trend. Moreover, the present research found a relatively complex relationship between empathy and mental health in preschool teachers: while fantasy and personal distress positively predicted mental health symptoms in preschool teachers, perspective taking and empathic concern negatively correlated with most of the symptoms. It seems that empathy contains both risky and protective factors for individuals’ mental health, and these factors are affected by years of teaching experience. (shrink)

Scientists normally earn less money than many other professions which require a similar amount of training and qualification. The economic theory of marginal utility and cost-benefit analysis can be applied to explain this phenomenon. Although scientists make less money than entertainment stars, the scientists do research work out of their interest and they also enjoy a much higher reputation and social status in some countries.

Eye-tracking technology has become a powerful tool for biomedical-related applications due to its simplicity of operation and low requirements on patient language skills. This study aims to use the machine-learning models and deep-learning networks to identify key features of eye movements in Alzheimer's Disease (AD) under specific visual tasks, thereby facilitating computer-aided diagnosis of AD. Firstly, a three-dimensional (3D) visuospatial memory task is designed to provide participants with visual stimuli while their eye-movement data are recorded and used to build an (...) eye-tracking dataset. Then, we propose a novel deep-learning-based model for identifying patients with Alzheimer's Disease (PwAD) and healthy controls (HCs) based on the collected eye-movement data. The proposed model utilizes a nested autoencoder network to extract the eye-movement features from the generated fixation heatmaps and a weight adaptive network layer for the feature fusion, which can preserve as much useful information as possible for the final binary classification. To fully verify the performance of the proposed model, we also design two types of models based on traditional machine-learning and typical deep-learning for comparison. Furthermore, we have also done ablation experiments to verify the effectiveness of each module of the proposed network. Finally, these models are evaluated by four-fold cross-validation on the built eye-tracking dataset. The proposed model shows 85% average accuracy in AD recognition, outperforming machine-learning methods and other typical deep-learning networks. (shrink)

Purpose: Short track speed skating is a racing sport with racing tactics are equally crucial to speed and technical skating skills. Therefore, to investigate the relationship between starting and finishing positions for elite skaters and subsequently, explore pacing patterns for champions are necessary.Methods: To investigate a pattern of effective tactical positioning strategy, Kendall’s tau-b correlations between starting and finishing position were calculated, with 500 m races having the most positive correlation.Results: Furthermore, starting position distributions of winners in each round, as (...) well as the fluctuations in champion starting positions across rounds were analyzed. Our findings showed that skaters on the first track were inclined to win the rounds in 500, 1,000, and 1,500 m, and the differences between starting and finishing positions for champions were minimized in semi-finals. Meanwhile, the pacing patterns were gaining more fluctuations by the increase of race distances for champions, as the average standard deviation of lap rankings equaled 0.90, 1.15, and 2.21 for 500, 1,000, and 1,500 m races, respectively.Conclusion: In conclusion, elite skaters should adopt flexible tactics at the lowest cost of energy consumption. The overall variability of lap ranking in long-distance races were distinctly higher than it in short distance. (shrink)

The biotech revolution profoundly changes and reconstructs the Foucaultian concept of biopolitics from different dimensions. It declares the coming of the Age of Biocapitalism, which opens a new pattern of modern power allocation of life governance and shows people two prospects simultaneously: utopian hopes and dystopian desperation. Biocapitalism has not only produced ethical degeneration and cultural shock, but more importantly, has opened new areas for political hegemony and economic aggression through the reconstruction of biopolitics, and the enhancement of capital’s comprehensive (...) dominance on nature and the human society. Therefore, it has become an area of serious, scholarly research in the biotech era to explore the implications of contemporary biopolitics, to take precautions against, and reduce the real risks of technocapitalism. This paper investigates the new biopolitics supported by the manipulation of modern biotechnology, especially genetic engineering, and unveils the possible hazards and deep contradictions inherent in this capital-controlled science, within the context of biocapitalism. It also seeks ways to prevent technological alienation and to reconstruct political rationality. It argues that entrepreneurs, scientists, companies and universities of developed countries must realize the limits of capital expansion and the self―regulatory capability of the market, and, then, assume ethical responsibilities as biocapital holders. (shrink)

Fishburn and Vickson showed that, when applied to random alternatives with an equal mean, 3rd-degree and decreasing absolute risk aversion stochastic dominances represent equivalent rules. The present paper generalizes this result to higher degrees. Specifically, higher-degree stochastic dominance rules and common preference by all decision makers with decreasing higher-order absolute risk aversion are shown to coincide under appropriate constraints on the respective moments of the random variables to be compared.

The developmental programs of eukaryotic organisms involve the programmed transcription of genes. A characteristic gene expression pattern is established and preserved in each different cell type. Therefore, gene activation at a particular time and its maintenance during cell division are significant for cellular differentiation and individual development. Although many studies have sought to explain the molecular mechanisms of gene expression regulation, the mechanism through which gene expression states are inherited during cell division has not been fully elucidated yet. This review (...) illustrates the general principles and the complexities involved in the establishment and maintenance of active transcription through cell cycles. It focuses on the most‐recent findings about the ways in which molecular memory marks for active transcription are coordinated with cell cycle events, such as replication, mitosis and nuclear organization, to mediate transcription memory across cell division events, which may establish a unifying memory process of active transcription. BioEssays 27:1239–1245, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

Creativity is so important for social and technological development that people are eager to find an easy way to enhance it. Previous studies have shown that mindfulness has significant effects on positive affect, working memory capacity, cognitive flexibility and many other aspects, which are the key to promoting creativity. However, there are few studies on the relationship between mindfulness and creativity. The mechanism between mindfulness and creativity is still uncertain. Meditation is an important method of mindfulness training, but for most (...) people who do not have the basic training, it’s difficult to master how to get into a state of mindfulness. Animation has been shown by many studies to help improve cognition and is often used as a guiding tool. Using animation as the guiding carrier of meditation is more convenient and easier to accept. Therefore, this study adopted the intervention method of animation-guided meditation, aiming to explore: the effect of animation-guided meditation on enhancing creativity; the role of flow and emotion in the influence of mindfulness on creativity. We advertised recruitment through the internal network of a creative industrial park, and the final 95 eligible participants were divided into two groups: animation and audio guided meditation. The animation group was given an animated meditation intervention, and the audio group was given an audio meditation intervention, both interventions were performed 3 times a week and last for 8 weeks. Results: Animation-guided meditation significantly increased participants’ mindfulness and creativity levels; Significantly reduced their cognitive load compared to audio-guided meditation. Mindfulness has a significant direct effect on creativity, and significant indirect effects on creativity; Flow and PA act as the mediating variable. Conclusion: Mindfulness, flow, and PA all helped to improve the subjects’ work creativity. In addition to the direct positive impact of mindfulness on creativity, mindfulness can also have an indirect positive impact on creativity through flow and PA. Compared with audio, animation can significantly reduce cognitive load and help improve users’ cognitive ability, which is more suitable for the guidance materials of mindfulness meditation to enhance the effect of meditation. (shrink)

Advances in artificial intelligence have raised a basic question about human intelligence: Is human reasoning best emulated by applying task‐specific knowledge acquired from a wealth of prior experience, or is it based on the domain‐general manipulation and comparison of mental representations? We address this question for the case of visual analogical reasoning. Using realistic images of familiar three‐dimensional objects (cars and their parts), we systematically manipulated viewpoints, part relations, and entity properties in visual analogy problems. We compared human performance to (...) that of two recent deep learning models (Siamese Network and Relation Network) that were directly trained to solve these problems and to apply their task‐specific knowledge to analogical reasoning. We also developed a new model using part‐based comparison (PCM) by applying a domain‐general mapping procedure to learned representations of cars and their component parts. Across four‐term analogies (Experiment 1) and open‐ended analogies (Experiment 2), the domain‐general PCM model, but not the task‐specific deep learning models, generated performance similar in key aspects to that of human reasoners. These findings provide evidence that human‐like analogical reasoning is unlikely to be achieved by applying deep learning with big data to a specific type of analogy problem. Rather, humans do (and machines might) achieve analogical reasoning by learning representations that encode structural information useful for multiple tasks, coupled with efficient computation of relational similarity. (shrink)

To improve the positioning accuracy of industrial robots and avoid using the coordinates of the end effector, a novel kinematic calibration method based on the distance information is proposed. The kinematic model of an industrial robot is established. The relationship between the moving distance of the end effector and the kinematic parameters is analyzed. Based on the results of the analysis and the kinematic model of the robot, the error model with displacements as the reference is built, which is linearized (...) for the convenience of the following identification. The singular value decomposition is used to eliminate the redundant parameters of the error model. To solve the problem that traditional optimization algorithms are easily affected by data noise in high dimension identification, a novel extended Kalman filter and regularized particle filter hybrid identification method is presented. EKF is used in the preidentification of the linearized error model. With the preidentification results as the initial parameters, RPF is used to identify the kinematic parameters of the linearized error model. Simulations are carried out to validate the effectiveness of the proposed method, which shows that the method can identify the error of the parameters and after compensation the accuracy of the robot is improved. (shrink)

Drawing on the theory of cognitive-affective processing system and that of construal level, we propose a moderated mediation model illustrating the relationship among abusive supervision, shame, construal level, and work withdrawal. We tested this model with a two-source time-lagged survey of 387 employees from 129 work teams in central and East China. Results revealed that abusive supervision had a positive association with the emotion of shame and supported the mediating role of shame linking abusive supervision to work withdrawal. Besides, our (...) findings supported the buffering effect of construal level on the shame-work withdrawal relationship as well as the indirect relationship between abusive supervision and work withdrawal channeled through the emotion of shame. (shrink)